How context, consequence and audience impact should guide when AI disclosure actually matters — and when it doesn’t. The post ...

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

This project implements an RFM (Recency, Frequency, Monetary) customer segmentation analysis using machine learning. The system analyzes customer purchase behavior and automatically assigns customers ...

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was ...

Institutional clients on Tradeweb’s Swap Execution Facility (SEF) can now request and receive a two-way market for swaps and swaptions in one single electronic quote via the new protocol. Tradeweb ...

Marketers have long relied on simple demographic categories, including age, gender, income and region, to build segments and classifications. It’s convenient, easily understood and readily available ...

In today’s competitive market, companies must rethink how they connect with customers. Market segmentation—the practice of dividing a broad market into subgroups based onshared characteristics—has ...

From all my years in research and consulting, I think I’ve learned a thing or two about marketing worth sharing. Enduring fundamentals, mostly—yet often overlooked. So, over the course of my biweekly ...

Abstract: The technique of examining the attributes of customers and creating groups based on some specific characteristics is known as customer segmentation. Customer segmentation is a methodology ...